Abstract:
A lane departure suppressing apparatus is provided with: a supporter configured to perform departure suppression support for suppressing departure of a vehicle from a driving lane on which the vehicle is currently traveling; a detector configured to detect an adjacent area adjacent to the driving lane; a calculator configured to calculate an adjacent margin width, which is width of an area in which the vehicle can perform an avoidance action, out of the adjacent area; and a controller configured to control the supporter to increase intensity of the departure suppression support as the avoidance margin width becomes smaller.
Abstract:
An overtaking lane control system in a vehicle comprises a lane determination unit to recognize road configuration; an obstacle monitoring unit to detect approaching vehicles in adjacent lanes; and an overtaking lane control unit to issue a first alert to a driver to warn the driver to return to a normal lane when the overtaking lane control unit determines that the vehicle has travelled in an overtaking lane for a first predetermined time and it is safe to change to the normal lane.
Abstract:
A boundary line recognition apparatus receives detection results transmitted from camera devices and a laser radar device performing different optical detection methods. These detection results indicate information regarding a lane boundary line of a vehicle lane on a roadway on which an own vehicle drives. The apparatus further obtains surrounding environmental information of the own vehicle on the roadway, and selects at least one of the camera devices and the laser radar device suitable for correctly recognizing the lane boundary line on the basis of the environmental information. The apparatus finally recognizes the lane boundary line with high accuracy on the basis of the detection result transmitted form one or more devices selected based on the environment information.
Abstract:
A lane tracking apparatus and method using camera direction control is provided. The lane tracking apparatus using camera direction control includes a lane recognition unit for obtaining lane information from an image captured and acquired by a camera. A road curvature calculation unit calculates a curvature of a road using the lane information. A camera direction angle control unit controls a direction angle of the camera in consideration of the road curvature.
Abstract:
A vision system for a vehicle includes an imaging sensor operable to capture an image data set representative of a scene occurring in the exterior field of view of the imaging sensor. A processor processes the captured image data set via an edge detection algorithm, which is applied to a reduced image data set of the captured image data set to detect edges of objects present exteriorly of the equipped vehicle and within a target zone within the exterior field of view of the imaging sensor. The reduced data set is processed more than other image data of the captured image data set in order to detect objects present exteriorly of the equipped vehicle and within the target zone. The target zone encompasses a geographic area of the exterior scene where an object of interest to the driver of the equipped vehicle is realistically expected to be present.
Abstract:
A method for driver assistance and a driver assistance device which operates on the basis of lane information are described. The lane information is ascertained from an image recorded by an image sensor and/or estimated on the basis of objects in this image depending on the weather conditions.
Abstract:
The present invention provides a collision avoidance apparatus and method employing stereo vision applications for adaptive vehicular control. The stereo vision applications are comprised of a road detection function and a vehicle detection and tracking function. The road detection function makes use of three-dimensional point data, computed from stereo image data, to locate the road surface ahead of a host vehicle. Information gathered by the road detection function is used to guide the vehicle detection and tracking function, which provides lead motion data to a vehicular control system of the collision avoidance apparatus. Similar to the road detection function, stereo image data is used by the vehicle detection and tracking function to determine the depth of image scene features, thereby providing a robust means for identifying potential lead vehicles in a headway direction of the host vehicle.
Abstract:
An imaging system for a vehicle includes an imaging sensor and a control. The imaging sensor is operable to capture an image of a scene occurring exteriorly of the vehicle. The control receives the captured image, which comprises an image data set representative of the exterior scene. The control may apply an edge detection algorithm to a reduced image data set of the image data set. The reduced image data set is representative of a target zone of the captured image. The control may be operable to process the reduced image data set more than other image data, which are representative of areas of the captured image outside of the target zone, to detect objects present within the target zone. The imaging system may be associated with a side object detection system, a lane change assist system, a lane departure warning system and/or the like.
Abstract:
In road white line detecting apparatus and method, a CCD camera is installed to photograph a road surface, an edge image is generated from a road surface image photographed and outputted by the CCD camera, edge positions of a smear are detected from a region of the generated edge image which is determined on the basis of a previously detected position of a white line on the road surface, smear edges corresponding to the edge positions of the smear are generated from the generated edge image, and the present position of the white line are detected from the generated edge image from which the smear edges have been eliminated.
Abstract:
A stability control system for road vehicles comprising a limit handling assistance controller which uses video lane detection measurements in conjunction with vehicle dynamics information, including inertial brakes and steering measurements to control vehicle EPS and VSC systems to assist the driver stabilize the vehicle and correct for any lane offset prior to and/or during of understeer, oversteer, split-μ and heavy breaking conditions, and lane changes.